Ontology highlight
ABSTRACT: Background
Little is known about how individuals engage over time with smartphone app interventions and whether this engagement predicts health outcomes.Objective
In the context of a randomized trial comparing 2 smartphone apps for smoking cessation, this study aimed to determine distinct groups of smartphone app log-in trajectories over a 6-month period, their association with smoking cessation outcomes at 12 months, and baseline user characteristics that predict data-driven trajectory group membership.Methods
Functional clustering of 182 consecutive days of smoothed log-in data from both arms of a large (N=2415) randomized trial of 2 smartphone apps for smoking cessation (iCanQuit and QuitGuide) was used to identify distinct trajectory groups. Logistic regression
SUBMITTER: Bricker JB
PROVIDER: S-EPMC9437788 | biostudies-literature | 2022 Aug
REPOSITORIES: biostudies-literature